# bdon_trades (@dillybonovan) on tiktok

- id: koinon:creator:tiktok_dillybonovan
- url: https://koinonlink.com/kol/tiktok/dillybonovan
- schema_version: 1.4

## Identity
- platform: tiktok
- handle: dillybonovan
- platform_url: https://www.tiktok.com/@dillybonovan
- country: United States
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 60151
- following: 196
- posts_total: 275
- posts_observed: 1
- verified: false
- size_tier: koc

## Engagement
- status: not_collected
- status_note: Engagement has not been collected for this creator yet. This is a gap in our collection, NOT a statement that the creator has no engagement. Follower count is known, so it is measurable.
- unit_note: engagement_rate and peak_post_engagement_rate are ratios (0-1); avg_interactions_per_post and best_post_interactions are absolute counts. Read status before reading any number: a null rate has several different causes and status says which one applies here.

## Content
- category: finance
- subcategory: investing
- category_confidence: 0.98
- category_source: derived_from_recent_content
- topics: AI infrastructure and hardware stocks, Buy-the-dip growth stock ideas, Commodities (copper, uranium, rare earths), Specific ticker deep-dives and price targets, Market sentiment and volatility plays

## Audience (inferred)
- status: present
- description: Retail individual investors and traders actively hunting stock ideas, especially AI/tech growth names, small-caps, and commodities
- roles: consumer
- seniority: practitioner
- pain_points: Missing the next big runner before it takes off, Finding credible entry points during dips without getting shaken out, Identifying which AI infrastructure or critical materials stocks will actually move, Separating real high-conviction setups from hype and paid promotions
- posts_analysed: 98
- confidence: 0.9

## Commercial (inferred)
- audience_buyer_fit: 0.1
- promotion_intent: 0.3
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 62
- authenticity_basis: profile_shape_only
- credibility_score: 62
- flagged_for_review: false
- koinon_bd_grade: C — measures Koinon partner-outreach fit, not creator quality
- interpretation: Signals for triage, not verdicts. A flag means the profile is worth a manual check.

## Evidence
- [tiktok_dillybonovan#d3d3d7da] DON’T MISS THE NEXT STOCK TO RUN 👀🚀 My levels don’t lie. I’ve been waiting patiently for the right setup, and IREN at $30–$40 is one of my highest-conviction accumulation zones right now. AI infrastructure. Massive growth potential. A major pullback from the highs. Everyone wan (https://www.tiktok.com/@dillybonovan)
- [tiktok_dillybonovan#4a2e966f] original sound - _av_music
- [tiktok_dillybonovan#8fe52aab] It is a becoming a big trend on TikTok now! Click here: stocks
- [tiktok_dillybonovan#e9ecd9bd] Check out bdon_trades’s video! #TikTok >
- [tiktok_dillybonovan#6b7e645e] Search:
- [tiktok_dillybonovan#58c96a52] iren stock prediction
- [tiktok_dillybonovan#bd1977e6] It’s only right that I make stock market content after going viral for this meme 😂😭 #stocks #stockmarket #finance #investing  Just kidding, the meme is Brian Limond. Shoutout to Brian for creating one of the

## Provenance
Every inferred field below carries how it was produced. Facts stay facts; inferences stay inferences.

- audience.description: source_type=ai_inferred, confidence=0.9, freshness_days=75, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.9, freshness_days=75, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.9, freshness_days=75, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=75, method=llm_scorer — Relative signal within Koinon indexing, not a market-wide score.
- commercial.promotion_intent: source_type=ai_inferred, confidence=0.6, freshness_days=75, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=92, method=profile_snapshot_and_engagement_ratio_heuristic — Means "worth a manual check", NOT confirmed fraud. Flags can be wrong and are not a verdict about the person.
- quality.authenticity_score: source_type=heuristic, confidence=0.25, freshness_days=75, method=Profile-shape heuristic from a single snapshot (follower count, following ratio, account age, posting volume, verification), reduced for engagement red flags where post engagement was collected. Where only a follower count is available the score saturates at 58. — The input set differs by platform; do not compare this score across platforms.
- quality.koinon_bd_grade: source_type=ai_inferred, confidence=0.5, freshness_days=92, method=llm_partner_fit_classifier + fit_score >= 0.6 AND authenticity >= 60 => A; fit_score >= 0.4 AND authenticity >= 45 => B; else C. authenticity < 30 or a promotional-pattern flag => quarantine. — Koinon partner-outreach fit, not creator quality.
- reach.followers: source_type=observed, confidence=0.95, freshness_days=92, method=platform_profile

## Freshness
- profile_checked_days_ago: 92
- content_analysed_days_ago: 75
- audience_updated_days_ago: 75

## AI retrieval
- indexing_requests: 10
- user_triggered_requests: 0
- note: Being indexed in bulk is not the same as being retrieved to answer a question.

## This profile
- Claim or correct: https://koinonlink.com/claim?k=tiktok_dillybonovan
- Request removal: https://koinonlink.com/claim?k=tiktok_dillybonovan
- Terms: https://koinonlink.com/for-ai